Freelance Latin America

Information Technology and Services

DataIntegrationSpecialist

$20–40k ~AI est. Remote PART TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Data Integration Specialist at Freelance Latin America. Skills: Data integration, ETL/ELT pipelines, SQL, Python. Build ETL/ELT pipelines. Manage ETL/ELT pipelines”

What You'll Achieve.

Ensure data arrives clean; Ensure data arrives structured; Ensure data arrives reliably

Industry & Context.

Information Technology and Services
Problems you'll solve

Solve unstructured data issues; Solve integration issues; Solve connectivity issues; Systems-thinking

What They're Looking For.

Must Have

Hands-on experience with automation and ETL tools, Understanding of REST APIs, JSON, OAuth2, and webhooks, Advanced Power Query / M language skills, Intermediate Python / pandas experience, Advanced SQL skills, Solid knowledge of relational databases, Experience with version control, Experience with code reviews, Experience with structured technical documentation, Attention to data integrity, Attention to accuracy, Attention to reliable pipeline performance, Ability to independently solve unstructured data issues, Ability to independently solve integration issues, Ability to independently solve connectivity issues, Systems-thinking mindset

What You'll Do.

Build ETL/ELT pipelines

Manage ETL/ELT pipelines

Connect data sources through REST APIs

Manipulate data using SQL

Transform datasets using Power Query / M

Transform datasets using Python

Configure Power BI Gateway

Monitor Power BI Gateway

Troubleshoot Power BI Gateway connections

Troubleshoot refresh schedules

Troubleshoot pipeline errors

Create API integrations

Establish standards for folder structures

Establish standards for API logging

Establish standards for documentation

Establish standards for Git workflows

Establish standards for branches

Establish standards for pull requests

Document integration architecture

Document pipeline flows

Document data sources

Document troubleshooting procedures

How You'll Work.

Team & Collaboration

International teams; Client's team

Communication Scope

Documentation

Process & Methodology

Git workflows, Branches, Pull requests

Full Job Description

We are looking for a Data Integration Specialist to build, optimize, and maintain automated data pipelines for a remote business intelligence environment. This role ensures operational and financial data from multiple systems arrives clean, structured, and reliably for reporting and analytics. ### Duties / Task to perform * Build and manage ETL/ELT pipelines using tools such as n8n, Microsoft Power Automate, and SQL. * Connect data sources through REST APIs, including OAuth authentication, JSON parsing, and webhook management. * Query, clean, and manipulate data using SQL, including PostgreSQL or T-SQL. * Prepare and transform complex datasets using advanced Power Query / M and Python before they feed into analytical models. * Configure, monitor, and troubleshoot Power BI Gateway connections, refresh schedules, and pipeline errors. * Create stable API integrations with third-party platforms such as ERP, POS, CRM, Excel, and SharePoint systems. * Establish and follow standards for folder structures, API logging, documentation, Git workflows, branches, and pull requests. * Document integration architecture, pipeline flows, data sources, and troubleshooting procedures. **Requirements** * Hands-on experience with automation and ETL tools such as n8n and/or Microsoft Power Automate. * Strong understanding of REST APIs, JSON, OAuth2, and webhooks. * Advanced Power Query / M language skills. * Intermediate Python / pandas experience for ETL and data transformation. * Advanced SQL skills and solid knowledge of relational databases. * Experience with version control, code reviews, and structured technical documentation. * Strong attention to data integrity, accuracy, and reliable pipeline performance. * Ability to independently solve unstructured data, integration, or connectivity issues with a systems-thinking mindset. **Schedule: Monday to Friday, 8:00 AM – 12:00 PM (EST)** **Benefits** * Fully remote work environment * Stable, long-term collaboration with potential to sca

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